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. 2025 Mar 13;11(3):486–496. doi: 10.1021/acscentsci.4c01973

Polyacrylamide-Based Antimicrobial Copolymers to Replace or Rescue Antibiotics

Shoshana C Williams †,, Madeline B Chosy , Carolyn K Jons §, Changxin Dong §, Alexander N Prossnitz §, Xinyu Liu , Hector Lopez Hernandez §, Lynette Cegelski , Eric A Appel ‡,§,∥,⊥,#,*
PMCID: PMC11950845  PMID: 40161953

Abstract

graphic file with name oc4c01973_0008.jpg

Antibiotics save countless lives each year and have dramatically improved human health outcomes since their introduction in the 20th century. Unfortunately, bacteria are now developing resistance to antibiotics at an alarming rate, with many new strains of “superbugs” showing simultaneous resistance to multiple classes of antibiotics. To mitigate the global burden of antimicrobial resistance, we must develop new antibiotics that are broadly effective, safe, and highly stable to enable global access. In this manuscript, we report the development of polyacrylamide-based copolymers as a class of broad-spectrum antibiotics with efficacy against several critical pathogens. We demonstrate that these copolymer drugs are selective for bacteria over mammalian cells, indicating a favorable safety profile. We show that they kill bacteria through a membrane disruption mechanism, which allows them to overcome traditional mechanisms of antimicrobial resistance. Finally, we demonstrate their ability to rehabilitate an existing small-molecule antibiotic that is highly subject to resistance development by improving its potency and eliminating the development of resistance in a combination treatment. This work represents a significant step toward combating antimicrobial resistance.

Short abstract

Polyacrylamide-based copolymers function as broad-spectrum antibiotics via a membrane disruption mechanism. They can prevent or delay the onset of resistance and rehabilitate existing antibiotics.

Introduction

Antimicrobial resistance (AMR) is a growing global crisis. It is estimated that by 2050, over 8.2 million deaths annually will be associated with AMR.1 In the US alone, AMR already causes over 35,000 deaths annually and costs over $4.6 billion in direct healthcare spending.2,3 Unfortunately, progress in the development of new antibiotics has waned, while AMR bacteria arise at an alarming rate.4,5 Even as the identification of multidrug resistant (MDR) isolates increases,6 publications on antibiotics are decreasing (Figure 1A).7

Figure 1.

Figure 1

Polymers to combat antimicrobial resistance. (A) Graph comparing the decreasing research into antibiotics with the increasing incidence of MDR bacteria. Values determined using NCBI tools: PubMed by Year and MicroBIGG-E. (B) Schematic showing common mechanisms of AMR and the hypothesized ability of copolymers to overcome these mechanisms.

The mechanisms of AMR are molecularly defined and include inhibition of drug uptake, modification of the drug target, inactivation of the drug, and enhanced drug efflux (Figure 1B).8,9 Novel antibiotics that could evade these mechanisms are of immense interest to combat the growing threat of AMR.

Previous work has explored the development of antimicrobial polymers and oligomers, both as coatings for devices or surfaces1018 and as treatments.1949 These studies have identified positive charge and hydrophobicity as key parameters to enable antibacterial activity, and several of these polymers were shown to work through a membrane disruption mechanism.5064 This mode of action overcomes traditional resistance mechanisms, since the polymers do not need access to the intracellular space, and they are not specific to a singular molecular target where mutations confer resistance (Figure 1B).65 Despite these exciting developments, the further translation of these polymers has been hampered by challenging synthesis and toxicity by hemolytic activity. Several approaches have relied on multistep syntheses to prepare monomers and perform postpolymerization modifications, which can be costly and time-intensive.29,30,3538,45,46,63 Other investigations have utilized sequence-controlled polymers, which similarly require greater synthetic control.28,3134,66 Even with these approaches, several candidates have shown unfavorable hemolytic activity and toxicity profiles.29,3336,67 To address these challenges, we generated a library of polyacrylamide-derived copolymers for use as antimicrobial agents. Polyacrylamides were selected for their impressive chemical stability, commercial availability, and ease of synthesis. We investigated their activity, safety, mechanism of action, and ability to rescue the effectiveness of existing small-molecule antibiotics.

Results and Discussion

Development of a Library of Polyacrylamide Derivative Copolymers

We developed a library of unique polyacrylamide derivatives designed to arrest bacterial growth through a membrane disruption mechanism, which does not rely on specific protein transporters or pathways subject to resistance mechanisms. Each copolymer comprises various ratios of three monomers, including: (i) a cationic monomer to drive polymer adsorption to the negatively charged surface of bacteria, (ii) a hydrophilic “carrier” monomer to tune water solubility, and (iii) a hydrophobic “dopant” monomer to disrupt the bacterial membrane (Figure 2A). Each polymer contained the same cationic monomer, (3-acrylamidopropyl)trimethylammonium chloride (Tma). We designed this library to vary hydrophobic and hydrophilic monomer identity, charge density, hydrophobicity, and molecular weight to allow us to explore how these parameters affect activity and safety. Inclusion of a third monomer allowed for greater control in exploring the independent effects of charge and hydrophobicity (Figure 2B). It also allowed for control of hydrophilicity, which is known to impact antimicrobial activity and biocompatibility.22,68 Previous work in the field has explored these parameters through the development of polymers where the hydrophobicity and charge were linked, either in the same monomers or using two monomers.10,28,35,36

Figure 2.

Figure 2

Development of a library of polyacrylamide-based copolymers. (A) Schematic of statistical copolymer library showing monomers used and their classes. (B) The use of a ternary system allows for independent tuning of charge and hydrophobicity. (C) RAFT polymerization conditions.

Copolymers were synthesized through statistical copolymerization using a variety of commercially available or easily synthesized monomers by reversible addition–fragmentation chain transfer (RAFT) polymerization (Figure 2C). Each polymer is named by its target degree of polymerization (DP; H for a high DP of 115; L for a low DP of 70), and the identity and target weight percent of its hydrophobic and hydrophilic monomers. The remaining weight percent is accounted for by the cationic monomer, which is (3-acrylamidopropyl)trimethylammonium chloride) in all cases. For example, L-Ni31Mo10 has a low degree of polymerization (70) and consists of (3-acrylamidopropyl)trimethylammonium chloride (59%), N-isopropylacrylamide (31%), and 4-acryloylmorpholine (10%). The copolymers were analyzed by nuclear magnetic resonance (NMR; Figures S3–S10). For several polymers, their conversion and composition were recorded (Table 1, Table S1). The observed compositions closely matched the target molar ratios of monomers. A computational analysis, using the previously reported program Compositional Drift, was performed to analyze compositional variance for a subset of polymers (Figures S11, S12).6971

Table 1. Composition of Polyacrylamide Library.

Polymer Target DPa Target Mn (kDa)a Mn (kDa)b Đb % Conversionc % Yieldd
L-Ni31Mo10 70 11.1 9.9 1.12 n.d. 103
L-Ni31Mep10 70 11.1 10.6 1.12 n.d. 113
L-Phe31Mo10 70 12.4 8.9 1.16 n.d. 94.5
L-Phe31Mep10 70 12.4 9.2 1.14 n.d. 99
L-Do31Mo10 70 14.4 7.6 1.36 n.d. 92.5
L-Do31Mep10 70 14.4 10.5 1.15 n.d. 58
L-Ni13Mo4 70 12.8 11.9 1.15 n.d. 94
L-Ni13Mep4 70 12.8 11.6 1.18 n.d. 65
L-Phe13Mo4 70 13.5 10.9 1.16 n.d. 92.5
L-Phe13Mep4 70 13.5 9.2 1.25 n.d. 81
L-Do13Mo4 70 14.4 9.0 1.32 n.d. 69.5
L-Do13Mep4 70 14.4 8.8 1.37 n.d. 78.5
H-Ni31Mo10 115 18.3 17.5 1.21 100 91.5
H-Ni31Mep10 115 18.3 19.1 1.15 93.6 85.5
H-Phe31Mo10 115 20.3 19.1 1.18 99.3 84.5
H-Phe31Mep10 115 20.3 16.7 1.15 100 92.5
H-Do31Mo10 115 23.6 16.6 1.27 100 95
H-Do31Mep10 115 23.7 15.6 1.24 96.7 81.5
L-Bam31Mep10 70 11.7 12.1 1.25 85.6 69
L-Bmam31Mep10 70 12.7 12.1 1.27 88 68
L-Tmb31Mep10 70 13.3 8.8 1.28 99.3 63
L-Oct31Mep10 70 13.3 10.4 1.22 99 51
L-Olam31Mep10 70 15.5 8.1 1.27 96.7 71
L-Do30Mep5 70 14.75 11.4 1.23 n.d. 59
L-Tmb5Mo90 70 10.16 10.6 1.21 n.d. 100
L-Oct5Mep5 70 14.07 12.5 1.20 n.d. 100
L-Phe15Mo30 70 12.06 12.1 1.18 n.d. 89
a

Target DP and Mn are theoretical values.

b

Mn and Đ were measured via GPC. Mn was determined by comparison to PEG standards, except for L-Tmb5Mo90, which was compared to PMMA standards.

c

Percent conversion was determined via 1H NMR.

d

Percent yield was determined by mass after lyophilization.

The copolymers were characterized by gel permeation chromatography (GPC; Figure S13). NaBF4 (1 wt %) was included in the mobile phase during GPC analysis to ensure the solubility of the polymers. The polymer GPC spectra were analyzed until the solvent elution time of 19.2 min.72 Several samples showed tailing on the refractive index, indicative of polymer interactions with the column, which is common for cationic polymers. Some of the samples, most notably those with a higher DP, showed a bimodal distribution; however, most samples were monomodal, as expected from RAFT polymerization. Molecular weights were determined by comparison to PEG standards, except for L-Tmb5Mo90. Because of this formulation’s low cationic density, it was more appropriately evaluated by comparison to PMMA standards. The dispersities are typical for controlled radical polymerization techniques (Table 1). On average, we observed a yield of 84%. Several of these polymers are highly hygroscopic and yields above 100% are observed for two polymers due to the presence of residual water.

Antibacterial Efficacy and Safety of Polyacrylamide Copolymers

To evaluate the efficacy of each novel copolymer, its minimum inhibitory concentration (MIC) was determined against a standard Gram-negative strain, E. coli ATCC 25922, and a standard Gram-positive strain, S. aureus ATCC 29213 (Figure 3A, Table 2). Of the 27 copolymers evaluated, 20 showed activity against at least one of these targets, and 11 showed activity against both, indicating broad-spectrum efficacy. We observed no trade-off between efficacy against S. aureus compared to E. coli, with several copolymers demonstrating robust activity against both (Figure S14). The observed MIC values were comparable to those of previously reported antimicrobial polymers and licensed antibiotic drug products (Table 2).2830,32,35,36,46,52,7375

Figure 3.

Figure 3

Efficacy and safety of novel polyacrylamides. (A) Heat map showing the antibacterial efficacy (MIC) of each polymer against several bacteria as measured after overnight inoculation. (B) Hemolytic activity of each polymer over 1 h at a concentration of 2000 μg/mL. (C) LC50 values of eight copolymers against 3T3 cells measured at 24 h and compared to a commercial excipient control, polysorbate 20.

Table 2. Antibacterial Efficacy of Copolyacrylamides and Penicillin G.

  Hydrophobic/cationic molar ratioa Hydrophobicity (∑LogP)b MIC: E. coli, μg/mL (μM)c MIC: S. aureus, μg/mL (μM)c MIC: K. pneumoniae, μg/mL (μM)c MIC: E. faecium, μg/mL (μM)c
Penicillin G N/A N/A 32 (89.8) 0.5–1 (1.40–2.81) n.d. n.d.
L-Ni31Mo10 0.95 0.80 >512 (>46.0) >512 (>46.0) n.d. n.d.
L-Ni31Mep10 0.95 1.20 >512 (>43.1) >512 (>43.1) n.d. n.d.
L-Phe31Mo10 0.73 1.70 256 (24.9) >512 (>49.7) n.d. n.d.
L-Phe31Mep10 0.73 2.10 256 (24.3) >512 (>48.7) n.d. n.d.
L-Do31Mo10 0.45 5.80 128 (12.3) 32–64 (3.07–6.14) 256 (24.5) 512 (49.1)
L-Do31Mep10 0.45 6.20 128 (10.5) 32 (2.64) 512 (42.2) 512 (42.2)
L-Ni13Mo4 0.29 0.80 >512 (>37.6) 32 (2.35) n.d. n.d.
L-Ni13Mep4 0.29 1.20 >512 (>37.5) 64–128 (4.69–9.39) n.d. n.d.
L-Phe13Mo4 0.22 1.70 >512 (>40.7) 32 (2.54) n.d. n.d.
L-Phe13Mep4 0.22 2.10 >512 (>44.4) 32 (2.78) n.d. n.d.
L-Do13Mo4 0.14 5.80 256–512 (21.5–43.1) 32 (2.69) n.d. n.d.
L-Do13Mep4 0.14 6.20 256 (21.2) 32 (2.64) 256 (21.2) 256 (21.2)
H-Ni31Mo10 0.95 0.80 >512 (>24.1) 128 (6.02) n.d. n.d.
H-Ni31Mep10 0.95 1.20 >512 (>23.3) >512 (>23.3) n.d. n.d.
H-Phe31Mo10 0.73 1.70 256–512 (11.4–22.7) 128–256 (5.68–11.36) 64 (2.84) >512 (>22.7)
H-Phe31Mep10 0.73 2.10 256 (13.4) >512 (>26.8) n.d. n.d.
H-Do31Mo10 0.45 5.80 128 (6.10) 32 (1.52) 128–256 (6.10–12.2) 256 (12.2)
H-Do31Mep10 0.45 6.20 128 (6.65) 32 (1.66) 256 (13.3) >512 (>26.6)
L-Bam31Mep10 0.84 1.50 >512 (>33.8) >512 (>33.8) n.d. n.d.
L-Bmam31Mep10 0.68 1.62 256 (16.6) >512 (>33.3) n.d. n.d.
L-Tmb31Mep10 0.59 2.84 64 (5.67) 64 (5.67) n.d. n.d.
L-Oct31Mep10 0.59 3.17 128–256 (10.1–20.3) 64 (5.06) 256 (20.3) >512 (>40.5)
L-Olam31Mep10 0.33 7.03 128 (12.4) 32–64 (3.11–6.22) >512 (>49.8) >512 (>49.8)
L-Do30Mep5 0.40 6.20 512 (36.6) 128 (9.14) n.d. n.d.
L-Tmb5Mo90 1.13 2.44 >512 (>39.9) >512 (>39.9) n.d. n.d.
L-Oct5Mep5 0.06 3.17 >512 (>34.1) >512 (>34.1) n.d. n.d.
L-Phe15Mo30 0.38 1.70 >512 (>36.0) 16 (1.13) n.d. n.d.
a

The hydrophobic/cationic molar ratio is calculated from the monomer feed ratios.

b

The hydrophobicity is computationally calculated using the predicted LogP of the hydrophobic and hydrophilic monomers using ChemDraw.

c

MIC values were determined after overnight inoculation.

The hemolytic activity of each copolymer was measured as a metric of mammalian nontoxicity. Most copolymers showed remarkably low hemolytic activity, even up to concentrations exceeding 2000 μg/mL, indicating favorable safety profiles (Figure 3B, Table 3). Indeed, for most polymers, HC50 (the concentration at which 50% of red blood cells are lysed) values could not be determined because it fell beyond the concentration range tested. Even as research in the field has yielded polymers with similarly promising hemolysis profiles, these results remain among the best that have been reported in the literature.22,46,64,65,75 Our polymers demonstrated clear selectivity for permeabilizing bacteria, leaving red blood cells intact. Interestingly, the antibacterial efficacy of the copolymer did not directly correlate with the hemolytic activity. The promising safety profile of our copolymers demonstrates the importance of our ternary copolymer design, where the introduction of a hydrophilic monomer enabled access to copolymers with potent antibacterial activity and low toxicity, as expected.

Table 3. In Vitro Safety of Polyacrylamide Copolymers and Polysorbate 20.

  HC50, μg/mL (90% CI)a LC50, 3T3s, μg/mL (90% CI)b LC50, A549s, μg/mL (90% CI)b
Polysorbate 20 n.d. 1800 1700 (200–2000)
L-Ni31Mo10 >2000 n.d. n.d.
L-Ni31Mep10 >2000 n.d. n.d.
L-Phe31Mo10 >2000 n.d. n.d.
L-Phe31Mep10 >2000 n.d. n.d.
L-Do31Mo10 >2000 1100 (900–1300) 200 (100–300)
L-Do31Mep10 >2000 1100 (900–1400) 80 (40–100)
L-Ni13Mo4 >2000 n.d. n.d.
L-Ni13Mep4 >2000 n.d. n.d.
L-Phe13Mo4 >2000 n.d. n.d.
L-Phe13Mep4 >2000 n.d. n.d.
L-Do13Mo4 <50 n.d. n.d.
L-Do13Mep4 >2000 1100 (1000–1300) 60 (30–80)
H-Ni31Mo10 >8000 n.d. n.d.
H-Ni31Mep10 >8000 n.d. n.d.
H-Phe31Mo10 >8000 >2048 200 (90–300)
H-Phe31Mep10 >8000 n.d. n.d.
H-Do31Mo10 >8000 1100 (900–1200) 100 (40–300)
H-Do31Mep10 6000 (5000–8000) 820 (770–880) 70 (30–110)
L-Bam31Mep10 >8000 n.d. n.d.
L-Bmam31Mep10 6000 (5000–8000) n.d. n.d.
L-Tmb31Mep10 <62.5 n.d. n.d.
L-Oct31Mep10 5000 (4000–6000) 200 (100–400) 40 (30–100)
L-Olam31Mep10 >8000 >2048 90 (70–100)
L-Do30Mep5 3000 (3000–4000) n.d. n.d.
L-Tmb5Mo90 >4000 n.d. n.d.
L-Oct5Mep5 >4000 n.d. n.d.
L-Phe15Mo30 >4000 n.d. n.d.
a

HC50 values were measured after a 1 h incubation with mammalian red blood cells.

b

LC50 values were measured after 24 h.

Based on the results of our screen with E. coli and S. aureus, as well as the hemolysis profiles, eight copolymers were selected as top-performing candidates for further evaluation. These candidates were then tested against two additional bacteria: K. pneumoniae ATCC 13884 (Gram-negative) and E. faecium ATCC 35667 (Gram-positive). These bacterial species, along with E. coli and S. aureus, are members of a group of pathogens known for their ability to develop resistance to antibiotics.76,77 Each species is on the WHO priority list on account of its threat to global health.78 Among the eight copolymers tested, seven demonstrated activity against at least one additional strain, while four exhibited activity against both. The efficacy of our leading copolymers against these species represents a clear step toward combating antimicrobial resistance.

To further evaluate the safety of our leading copolymers, we examined the cytotoxicity of our top-performing candidates. We determined the LC50 following 24 h of exposure for 3T3 cells (Figure 3C, Table 3) and A549 cells (Figure S15, Table 3). The LC50 values were compared to those for polysorbate 20, one of a class of excipients used broadly in FDA-approved drug products. Notably, polysorbate 20 is approved for intranasal administration at a concentration of 25 mg/mL,79 more than an order of magnitude above its LC50 for either of the cell lines tested. Moreover, polysorbates are approved for intravenous administration at doses of ∼4,700 mg (∼78 mg/kg in humans), indicating that despite their observed LC50 values in vitro, polysorbates are well tolerated in vivo. Our copolymers exhibited comparable LC50 values in 3T3 cells but lower LC50 values in A549 cells than the polysorbate control. Given the relationship between observed LC50 values and tolerable dosing in vivo for polysorbates, these cytotoxicity studies suggest that the tolerability of our copolymers will be sufficiently high to provide a robust therapeutic margin for dosing in vivo. These results corroborate the safety of these antibiotic copolymer candidates in the hemolysis assays described above.

Polyacrylamide Copolymer Antibiotics Function through Membrane Disruption

Based on the efficacy and safety data, we selected one top candidate copolymer, L-Do31Mep10, for further characterization. We sought to verify our hypothesized mechanism of cell-killing behavior through membrane disruption. We incubated E. coli with the DNA-intercalating dye propidium iodide in the presence of L-Do31Mep10. We observed a dramatic increase in fluorescence over an hour of monitoring (Figure 4A), indicating that both the outer and inner membranes of E. coli had been compromised, thereby allowing the propidium iodide to access the DNA within the bacteria. Our negative control, penicillin G, kills bacteria through inhibiting cell wall synthesis and did not lead to a similar increase in fluorescence.

Figure 4.

Figure 4

L-Do31Mep10 disrupts the membrane of E. coli. (A) Membrane permeabilization assay, using the fluorescent probe propidium iodide, monitored continuously by plate reader. (B) SEM image of E. coli (untreated). (C) SEM image of E. coli treated with L-Do31Mep10.

Further, we visually examined E. coli before and after exposure to L-Do31Mep10 at to half the lethal level (0.5x MIC; 64 μg/mL; 6.27 μM) using scanning electron microscopy (SEM) (Figure 4B–C). Perturbations in the membrane were observed in the presence of L-Do31Mep10. Notably, blistering was visible in the treated sample, consistent with disruptions to the physical integrity of the membrane.

Polyacrylamide Copolymer Antibiotics Mitigate the Onset of Resistance

We hypothesized that a membrane disruption mechanism would allow our treatments to overcome traditional mechanisms of resistance. We tested this hypothesis by exposing E. coli ATCC 25922 to half the lethal level of L-Do31Mep10 for 7 passages. In each passage, we calculated the MIC of the bacteria (MICn) and compared it to the MIC of naïve E. coli (MIC0). We compared the copolymer efficacy to a small molecule control (penicillin G). Penicillin G is not reliably effective against clinical E. coli isolates on account of widespread resistance developed over several decades of penicillin G overuse, and newer penicillin derivatives, including ampicillin and amoxicillin, are more commonly used to treat infections in patients.80 For these assays we selected a strain of E. coli with known susceptibility to penicillin G, in accordance with previous reports.81,82 In these studies, no resistance to the copolymer was observed over the course of the experiment, whereas resistance to penicillin G quickly developed over the same time frame (Figure 5). These results indicate that the physical membrane disruption mechanism of the copolymer can mitigate the development of resistance.

Figure 5.

Figure 5

L-Do31Mep10 evades resistance mechanisms. (A) Schematic indicating the workflow for the resistance assay. (B) Results of resistance assay, indicating that L-Do31Mep10 is immune to resistance over 7 generations. (C) Comparison of MIC0 and MIC7 for penicillin G and L-Do31Mep10.

Polyacrylamide Copolymer Antibiotics Can Rehabilitate Traditional Antibiotics

We sought to evaluate the potential of our leading polyacrylamide copolymer to improve the efficacy of existing antibiotics. Previous work demonstrated that polymers can improve the delivery and potency of small-molecule antibiotics.11,13,53,83 We hypothesized that, since our novel copolymer disrupts the membrane of bacteria, it could facilitate entry of antibiotics into the cell (Figure 6A). We evaluated a range of antibiotics, including one that is already effective against E. coli (rifampicin), one that is ineffective due to an inability to access to the periplasmic space (vancomycin), and one that shows moderate efficacy due to incomplete access to the periplasmic space (penicillin G).8486 We determined the MIC of each antibiotic alone and in the presence of a sublethal amount (0.5x MIC) of L-Do31Mep10. Cotreatment decreased the MIC by a factor of 4 for penicillin G and by a factor of 2 for vancomycin and rifampicin, supporting our hypothesis that the copolymer may improve intracellular access for each of these antibiotics (Figure S16). Thus, clinically relevant antibiotics become more potent in combination treatment with the antibacterial polyacrylamide.

Figure 6.

Figure 6

L-Do31Mep10 improves the efficacy of penicillin G. (A) Schematic showing the hypothesized mechanism of membrane perturbation that facilitates antibiotic uptake. (B). Schematic detailing the resistance assay where the copolymer is used as an adjuvant to penicillin G. (C) Results of resistance assay, indicating that combination treatment prevents resistance against penicillin G over 7 generations.

Additionally, we sought to determine our copolymer’s ability to affect the development of resistance to penicillin G. It has been previously demonstrated that a combination treatment of an antimicrobial polymer and a small-molecule antibiotic can mitigate the development of resistance, although this is likely due to the polymer’s ability to circumvent resistance, as the concentration of the polymer varied alongside the small molecule in this resistance assay.62,87 Another study demonstrated that a polymer could be used to protect a small-molecule antibiotic from the development of resistance; however, the polymer described had minimal antimicrobial activity on its own.63 We hypothesized that our antimicrobial polymers, in addition to showing efficacy in isolation, could also act as an adjuvant to protect a small-molecule antibiotic from resistance. To investigate this hypothesis, we repeated the resistance study, but we used L-Do31Mep10 as an adjuvant at a constant sublethal concentration (0.25x MIC; 32 μg/mL; 2.64 μM). We evaluated the development of resistance to penicillin G over 7 passages in the presence of L-Do31Mep10, and we observed no resistance (Figure 6B,C). This remarkable finding suggests that our leading copolymer antibiotic may serve as a tool to combat the development of resistance against small-molecule antibiotics that are subject to traditional resistance mechanisms on their own.

Evaluation of the Physicochemical Properties Driving Efficacy of Polyacrylamide Copolymers

In addition to evaluation of the antibacterial efficacy and safety of our polyacrylamide copolymers, we analyzed each copolymer by some key physicochemical characteristics to investigate the influence of these properties on antibacterial efficacy. We featurized each copolymer using the RDKit package to compute hundreds of chemical characteristics.88 We condensed these multidimensional data using a principal component analysis (PCA), which preserved 60% of the variation of the data set (Figure 7A). In this analysis, we noticed little clustering, indicating that our effective copolymers were spread across the chemical space of our library. This observation likely arose because most of our entries were effective against at least one strain of bacteria. An expansion of the library in future studies might yield more robust patterns in the PCA.

Figure 7.

Figure 7

Evaluation of chemical differences in the library of novel polyacrylamides. Each point represents a polymer entry in our library, color-coded by its antimicrobial activity. (A) Principal component analysis was used to condense highly dimensional chemical data of each polymer, featurized using the RDKit package. (B) The impact of hydrophobicity and hydrophobic/cationic balance on the efficacy of novel copolymers. Molar ratios were calculated from monomer feed ratios, and hydrophobicity (LogP) was calculated for the hydrophobic and hydrophilic monomers using ChemDraw.

We observed a strong relationship between the hydrophobicity of the monomers used and the antibacterial efficacy of the polymer. To explore this, we calculated the sum of the estimated LogP values (calculated by ChemDraw) for the hydrophobic and hydrophilic monomers used for each polymer (Table 2, Figure 7). We also investigated the influence of the molar ratio of the hydrophobic monomer to the cationic monomer (Table 2, Figure 7). We found that the copolymers with the great breadth of activity were those with the highest LogP values. In contrast, the least effective copolymers had low LogPs and high hydrophobic/cationic molar ratios, suggesting that these copolymers comprised a high concentration of insufficiently hydrophobic monomers. In this analysis, we also noticed that copolymers with a higher charge density showed preferential activity toward S. aureus, while those with a slightly higher hydrophobic/cationic ratio were relatively more active toward E. coli.

Conclusion

We synthesized a library of 27 polyacrylamide copolymers at gram-scale with high yield using RAFT polymerization. We utilized statistical terpolymers to provide flexibility in independently varying the charge density and hydrophobicity of our library entries. We evaluated their activity as antibacterial agents against E. coli, S. aureus, K. pneumoniae, and E. faecium and found several copolymers that showed broad-spectrum activity. Further, we evaluated the safety of these copolymers in vitro, and we determined that they were highly selective for bacteria over mammalian cells, leaving the latter intact even at high concentrations. Some copolymers showed safety profiles comparable to a common excipient used in FDA-approved drug products.

One candidate copolymer, L-Do31Mep10, was selected for further characterization on account of its exceptional breadth and safety profile. Imaging studies confirmed that the copolymer functions through a membrane-disruption mechanism of cell-killing, which was found to both enhance the efficacy of traditional small-molecule antibiotics by improving access into the bacteria, as well as to mitigate traditional resistance mechanisms. Furthermore, a combination treatment of this leading copolymer with penicillin G prevented E. coli from developing resistance to the penicillin G over the course of the experiment, despite the copolymer being present well below its own lethal dose. To our knowledge, this is the first report of an antimicrobial copolymer protecting a small molecule from the development of resistance. This remarkable result suggests that these polyacrylamide copolymers may be useful as adjuvants to rehabilitate clinically used antibiotics in the fight against antimicrobial resistance.

Acknowledgments

We thank Noah Eckman for his contributions to GPC data processing.

Supporting Information Available

The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acscentsci.4c01973.

  • Experimental methods and materials, NMR spectra of synthesized monomers, NMR and GPC spectra of polymers, compositional analysis of polymers, and additional efficacy and safety data (PDF)

  • Transparent Peer Review report available (PDF)

Author Contributions

The study was conceptualized by S.C.W. and E.A.A. with guidance from L.C. Experiments were conducted by S.C.W., with contributions from M.B.C., X.L., C.K.J., C.D., and A.N.P.; H.L.H. contributed to the principal component analysis. The original draft was written by S.C.W.

This work was funded by the Stanford Bio-X Interdisciplinary Initiative Seed Grants Program. Part of this work was performed at the Stanford Nano Shared Facilities (SNSF), supported by the National Science Foundation under award ECCS-2026822. S.C.W. was supported by the Sarafan ChEM-H Chemistry/Biology Interface training program and the NSF GRFP.

The authors declare the following competing financial interest(s): S.C.W. and E.A.A. are listed as inventors on a patent application describing the materials presented in this manuscript.

Supplementary Material

oc4c01973_si_001.pdf (6.9MB, pdf)
oc4c01973_si_002.pdf (304.8KB, pdf)

References

  1. Naghavi M.; et al. Global Burden of Bacterial Antimicrobial Resistance 1990–2021: A Systematic Analysis with Forecasts to 2050. The Lancet 2024, 404 (10459), 1199–1226. 10.1016/S0140-6736(24)01867-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Centers for Disease Control and Prevention (U.S.) . Antibiotic Resistance Threats in the United States, 2019; Centers for Disease Control and Prevention (U.S.): 2019. 10.15620/cdc:82532. [DOI] [Google Scholar]
  3. Nelson R. E.; Hatfield K. M.; Wolford H.; Samore M. H.; Scott R. D. II; Reddy S. C.; Olubajo B.; Paul P.; Jernigan J. A.; Baggs J. National Estimates of Healthcare Costs Associated With Multidrug-Resistant Bacterial Infections Among Hospitalized Patients in the United States. Clin. Infect. Dis. 2021, 72 (Supplement_1), S17–S26. 10.1093/cid/ciaa1581. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Plackett B. Why Big Pharma Has Abandoned Antibiotics. Nature 2020, 586, S50–S52. 10.1038/d41586-020-02884-3. [DOI] [Google Scholar]
  5. Leaving the Lab: Tracking the Decline in AMR R&D Professionals; AMR Industry Alliance: 2024. [Google Scholar]
  6. MicroBIGG-E Map. https://www.ncbi.nlm.nih.gov/pathogens/microbigge_map/?utm_source=referral+&utm_medium=ncbi_insights&utm_campaign=pathogen-detection-microbigg-e-map-20231206 (accessed 2024-06-10).
  7. PubMed. by Year. https://esperr.github.io/pubmed-by-year/?q1=Antibiotics&q2=Antimicrobial%20resistance&startyear=1980 (accessed 2024-06-10).
  8. Reygaert W. An Overview of the Antimicrobial Resistance Mechanisms of Bacteria. AIMS Microbiol. 2018, 4 (3), 482–501. 10.3934/microbiol.2018.3.482. [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Munita J. M.; Arias C. A. Mechanisms of Antibiotic Resistance. Microbiol. Spectr. 2016, 4 (2), 1. 10.1128/microbiolspec.VMBF-0016-2015. [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Yin L.-H.; Ran B.; Hu T.-J.; Yang C.; Fei J.-J.; Li Y.-H. Preparation of Highly Efficient Antibacterial Polymeric Films via the Modulation of Charge Density and Hydrophobicity. RSC Adv. 2017, 7 (10), 6006–6012. 10.1039/C6RA26071C. [DOI] [Google Scholar]
  11. Kenawy E.-R.; Worley S. D.; Broughton R. The Chemistry and Applications of Antimicrobial Polymers: A State-of-the-Art Review. Biomacromolecules 2007, 8 (5), 1359–1384. 10.1021/bm061150q. [DOI] [PubMed] [Google Scholar]
  12. Qiu H.; Si Z.; Luo Y.; Feng P.; Wu X.; Hou W.; Zhu Y.; Chan-Park M. B.; Xu L.; Huang D. The Mechanisms and the Applications of Antibacterial Polymers in Surface Modification on Medical Devices. Front. Bioeng. Biotechnol. 2020, 8, 1. 10.3389/fbioe.2020.00910. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Huang K.-S.; Yang C.-H.; Huang S.-L.; Chen C.-Y.; Lu Y.-Y.; Lin Y.-S. Recent Advances in Antimicrobial Polymers: A Mini-Review. Int. J. Mol. Sci. 2016, 17 (9), 1578. 10.3390/ijms17091578. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Zhao C.; Zheng J. Synthesis and Characterization of Poly(N-Hydroxyethylacrylamide) for Long-Term Antifouling Ability. Biomacromolecules 2011, 12 (11), 4071–4079. 10.1021/bm2011455. [DOI] [PubMed] [Google Scholar]
  15. Madkour A. E.; Dabkowski J. M.; Nüsslein K.; Tew G. N. Fast Disinfecting Antimicrobial Surfaces. Langmuir 2009, 25 (2), 1060–1067. 10.1021/la802953v. [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Huang T.; Qian Y.; Wei J.; Zhou C. Polymeric Antimicrobial Food Packaging and Its Applications. Polymers 2019, 11 (3), 560. 10.3390/polym11030560. [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Deng Z.; Hoefling A.; Théato P.; Lienkamp K. Surface Properties and Antimicrobial Activity of Poly(Sulfur-Co-1,3-Diisopropenylbenzene) Copolymers. Macromol. Chem. Phys. 2018, 219 (5), 1700497 10.1002/macp.201700497. [DOI] [Google Scholar]
  18. Nagaraja A.; Puttaiahgowda Y. M.; Kulal A.; Parambil A. M.; Varadavenkatesan T. Synthesis, Characterization, and Fabrication of Hydrophilic Antimicrobial Polymer Thin Film Coatings. Macromol. Res. 2019, 27 (3), 301–309. 10.1007/s13233-019-7040-5. [DOI] [Google Scholar]
  19. Engler A. C.; Wiradharma N.; Ong Z. Y.; Coady D. J.; Hedrick J. L.; Yang Y.-Y. Emerging Trends in Macromolecular Antimicrobials to Fight Multi-Drug-Resistant Infections. Nano Today 2012, 7 (3), 201–222. 10.1016/j.nantod.2012.04.003. [DOI] [Google Scholar]
  20. Brogden N. K.; Brogden K. A. Will New Generations of Modified Antimicrobial Peptides Improve Their Potential as Pharmaceuticals?. Int. J. Antimicrob. Agents 2011, 38 (3), 217–225. 10.1016/j.ijantimicag.2011.05.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Giuliani A.; Rinaldi A. C. Beyond Natural Antimicrobial Peptides: Multimeric Peptides and Other Peptidomimetic Approaches. Cell. Mol. Life Sci. 2011, 68 (13), 2255–2266. 10.1007/s00018-011-0717-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Pham P.; Oliver S.; Boyer C. Design of Antimicrobial Polymers. Macromol. Chem. Phys. 2023, 224 (3), 2200226 10.1002/macp.202200226. [DOI] [Google Scholar]
  23. Takahashi H.; Palermo E. F.; Yasuhara K.; Caputo G. A.; Kuroda K. Molecular Design, Structures, and Activity of Antimicrobial Peptide-Mimetic Polymers. Macromol. Biosci. 2013, 13 (10), 1285–1299. 10.1002/mabi.201300126. [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Som A.; Vemparala S.; Ivanov I.; Tew G. N. Synthetic Mimics of Antimicrobial Peptides. Pept. Sci. 2008, 90 (2), 83–93. 10.1002/bip.20970. [DOI] [PubMed] [Google Scholar]
  25. Yang Y.; Cai Z.; Huang Z.; Tang X.; Zhang X. Antimicrobial Cationic Polymers: From Structural Design to Functional Control. Polym. J. 2018, 50 (1), 33–44. 10.1038/pj.2017.72. [DOI] [Google Scholar]
  26. Ergene C.; Yasuhara K.; Palermo F. E. Biomimetic Antimicrobial Polymers: Recent Advances in Molecular Design. Polym. Chem. 2018, 9 (18), 2407–2427. 10.1039/C8PY00012C. [DOI] [Google Scholar]
  27. Kamaruzzaman N. F.; Tan L. P.; Hamdan R. H.; Choong S. S.; Wong W. K.; Gibson A. J.; Chivu A.; Pina M. de F. Antimicrobial Polymers: The Potential Replacement of Existing Antibiotics?. Int. J. Mol. Sci. 2019, 20 (11), 2747. 10.3390/ijms20112747. [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Engler A. C.; Tan J. P. K.; Ong Z. Y.; Coady D. J.; Ng V. W. L.; Yang Y. Y.; Hedrick J. L. Antimicrobial Polycarbonates: Investigating the Impact of Balancing Charge and Hydrophobicity Using a Same-Centered Polymer Approach. Biomacromolecules 2013, 14 (12), 4331–4339. 10.1021/bm401248t. [DOI] [PubMed] [Google Scholar]
  29. Hancock S. N.; Yuntawattana N.; Diep E.; Maity A.; Tran A.; Schiffman J. D.; Michaudel Q. Ring-Opening Metathesis Polymerization of N-Methylpyridinium-Fused Norbornenes to Access Antibacterial Main-Chain Cationic Polymers. Proc. Natl. Acad. Sci. U. S. A. 2023, 120 (51), e2311396120 10.1073/pnas.2311396120. [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Pham P.; Oliver S.; Nguyen D. T.; Boyer C. Effect of Cationic Groups on the Selectivity of Ternary Antimicrobial Polymers. Macromol. Rapid Commun. 2022, 43 (21), 2200377 10.1002/marc.202200377. [DOI] [PubMed] [Google Scholar]
  31. Garcia Maset R.; Hapeshi A.; Hall S.; Dalgliesh R. M.; Harrison F.; Perrier S. Evaluation of the Antimicrobial Activity in Host-Mimicking Media and In Vivo Toxicity of Antimicrobial Polymers as Functional Mimics of AMPs. ACS Appl. Mater. Interfaces 2022, 14 (29), 32855–32868. 10.1021/acsami.2c05979. [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Kuroki A.; Sangwan P.; Qu Y.; Peltier R.; Sanchez-Cano C.; Moat J.; Dowson C. G.; Williams E. G. L.; Locock K. E. S.; Hartlieb M.; Perrier S. Sequence Control as a Powerful Tool for Improving the Selectivity of Antimicrobial Polymers. ACS Appl. Mater. Interfaces 2017, 9 (46), 40117–40126. 10.1021/acsami.7b14996. [DOI] [PubMed] [Google Scholar]
  33. Porel M.; Thornlow D. N.; Phan N. N.; Alabi C. A. Sequence-Defined Bioactive Macrocycles via an Acid-Catalysed Cascade Reaction. Nat. Chem. 2016, 8 (6), 590–596. 10.1038/nchem.2508. [DOI] [PubMed] [Google Scholar]
  34. Porel M.; Thornlow D.; Artim C. M.; Alabi C. A. Sequence-Defined Backbone Modifications Regulate Antibacterial Activity of OligoTEAs. ACS Chem. Biol. 2017, 12 (3), 715–723. 10.1021/acschembio.6b00837. [DOI] [PubMed] [Google Scholar]
  35. AL-Badri Z. M.; Som A.; Lyon S.; Nelson C. F.; Nüsslein K.; Tew G. N. Investigating the Effect of Increasing Charge Density on the Hemolytic Activity of Synthetic Antimicrobial Polymers. Biomacromolecules 2008, 9 (10), 2805–2810. 10.1021/bm800569x. [DOI] [PubMed] [Google Scholar]
  36. Gabriel G. J.; Maegerlein J. A.; Nelson C. F.; Dabkowski J. M.; Eren T.; Nüsslein K.; Tew G. N. Comparison of Facially Amphiphilic versus Segregated Monomers in the Design of Antibacterial Copolymers. Chem. Eur. J. 2009, 15 (2), 433–439. 10.1002/chem.200801233. [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Wong E. H. H.; Khin M. M.; Ravikumar V.; Si Z.; Rice S. A.; Chan-Park M. B. Modulating Antimicrobial Activity and Mammalian Cell Biocompatibility with Glucosamine-Functionalized Star Polymers. Biomacromolecules 2016, 17 (3), 1170–1178. 10.1021/acs.biomac.5b01766. [DOI] [PubMed] [Google Scholar]
  38. Stach M.; Siriwardena T. N.; Köhler T.; van Delden C.; Darbre T.; Reymond J.-L. Combining Topology and Sequence Design for the Discovery of Potent Antimicrobial Peptide Dendrimers against Multidrug-Resistant Pseudomonas Aeruginosa. Angew. Chem., Int. Ed. 2014, 53 (47), 12827–12831. 10.1002/anie.201409270. [DOI] [PubMed] [Google Scholar]
  39. Qiao Y.; Yang C.; Coady D. J.; Ong Z. Y.; Hedrick J. L.; Yang Y.-Y. Highly Dynamic Biodegradable Micelles Capable of Lysing Gram-Positive and Gram-Negative Bacterial Membrane. Biomaterials 2012, 33 (4), 1146–1153. 10.1016/j.biomaterials.2011.10.020. [DOI] [PubMed] [Google Scholar]
  40. Thaker H. D.; Sgolastra F.; Clements D.; Scott R. W.; Tew G. N. Synthetic Mimics of Antimicrobial Peptides from Triaryl Scaffolds. J. Med. Chem. 2011, 54 (7), 2241–2254. 10.1021/jm101410t. [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Kurnaz L. B.; Barman S.; Yang X.; Fisher C.; Outten F. W.; Nagarkatti P.; Nagarkatti M.; Tang C. Facial Amphiphilic Naphthoic Acid-Derived Antimicrobial Polymers against Multi-Drug Resistant Gram-Negative Bacteria and Biofilms. Biomaterials 2023, 301, 122275 10.1016/j.biomaterials.2023.122275. [DOI] [PMC free article] [PubMed] [Google Scholar]
  42. Wang Y.; Xu J.; Zhang Y.; Yan H.; Liu K. Antimicrobial and Hemolytic Activities of Copolymers with Cationic and Hydrophobic Groups: A Comparison of Block and Random Copolymers. Macromol. Biosci. 2011, 11 (11), 1499–1504. 10.1002/mabi.201100196. [DOI] [PubMed] [Google Scholar]
  43. Lienkamp K.; Tew G. N. Synthetic Mimics of Antimicrobial Peptides—A Versatile Ring-Opening Metathesis Polymerization Based Platform for the Synthesis of Selective Antibacterial and Cell-Penetrating Polymers. Chem. Eur. J. 2009, 15 (44), 11784–11800. 10.1002/chem.200900049. [DOI] [PubMed] [Google Scholar]
  44. Takahashi H.; Caputo G. A.; Vemparala S.; Kuroda K. Synthetic Random Copolymers as a Molecular Platform To Mimic Host-Defense Antimicrobial Peptides. Bioconjugate Chem. 2017, 28 (5), 1340–1350. 10.1021/acs.bioconjchem.7b00114. [DOI] [PubMed] [Google Scholar]
  45. Mowery B. P.; Lee S. E.; Kissounko D. A.; Epand R. F.; Epand R. M.; Weisblum B.; Stahl S. S.; Gellman S. H. Mimicry of Antimicrobial Host-Defense Peptides by Random Copolymers. J. Am. Chem. Soc. 2007, 129 (50), 15474–15476. 10.1021/ja077288d. [DOI] [PubMed] [Google Scholar]
  46. Nguyen T.-K.; Lam S. J.; Ho K. K. K.; Kumar N.; Qiao G. G.; Egan S.; Boyer C.; Wong E. H. H. Rational Design of Single-Chain Polymeric Nanoparticles That Kill Planktonic and Biofilm Bacteria. ACS Infect. Dis. 2017, 3 (3), 237–248. 10.1021/acsinfecdis.6b00203. [DOI] [PubMed] [Google Scholar]
  47. Takahashi H.; Nadres E. T.; Kuroda K. Cationic Amphiphilic Polymers with Antimicrobial Activity for Oral Care Applications: Eradication of S. Mutans Biofilm. Biomacromolecules 2017, 18 (1), 257–265. 10.1021/acs.biomac.6b01598. [DOI] [PMC free article] [PubMed] [Google Scholar]
  48. Beckloff N.; Laube D.; Castro T.; Furgang D.; Park S.; Perlin D.; Clements D.; Tang H.; Scott R. W.; Tew G. N.; Diamond G. Activity of an Antimicrobial Peptide Mimetic against Planktonic and Biofilm Cultures of Oral Pathogens. Antimicrob. Agents Chemother. 2007, 51 (11), 4125–4132. 10.1128/AAC.00208-07. [DOI] [PMC free article] [PubMed] [Google Scholar]
  49. Schaefer S.; Vij R.; Sprague J. L.; Austermeier S.; Dinh H.; Judzewitsch P. R.; Müller-Loennies S.; Lopes Silva T.; Seemann E.; Qualmann B.; Hertweck C.; Scherlach K.; Gutsmann T.; Cain A. K.; Corrigan N.; Gresnigt M. S.; Boyer C.; Lenardon M. D.; Brunke S. A Synthetic Peptide Mimic Kills Candida Albicans and Synergistically Prevents Infection. Nat. Commun. 2024, 15 (1), 6818. 10.1038/s41467-024-50491-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  50. Zou P.; Laird D.; Riga E. K.; Deng Z.; Dorner F.; Perez-Hernandez H.-R.; Guevara-Solarte D. L.; Steinberg T.; Al-Ahmad A.; Lienkamp K. Antimicrobial and Cell-Compatible Surface-Attached Polymer Networks – How the Correlation of Chemical Structure to Physical and Biological Data Leads to a Modified Mechanism of Action. J. Mater. Chem. B 2015, 3 (30), 6224–6238. 10.1039/C5TB00906E. [DOI] [PubMed] [Google Scholar]
  51. Leong J.; Yang C.; Tan J.; Tan B. Q.; Hor S.; Hedrick J. L.; Yang Y. Y. Combination of Guanidinium and Quaternary Ammonium Polymers with Distinctive Antimicrobial Mechanisms Achieving a Synergistic Antimicrobial Effect. Biomater. Sci. 2020, 8 (24), 6920–6929. 10.1039/D0BM00752H. [DOI] [PubMed] [Google Scholar]
  52. Concilio M.; Garcia Maset R.; Lemonche L. P.; Kontrimas V.; Song J.-I.; Rajendrakumar S. K.; Harrison F.; Becer C. R.; Perrier S. Mechanism of Action of Oxazoline-Based Antimicrobial Polymers Against Staphylococcus Aureus: In Vivo Antimicrobial Activity Evaluation. Adv. Healthc. Mater. 2023, 12 (29), 2301961 10.1002/adhm.202301961. [DOI] [PMC free article] [PubMed] [Google Scholar]
  53. Jung K.; Corrigan N.; Wong E. H. H.; Boyer C. Bioactive Synthetic Polymers. Adv. Mater. 2022, 34 (2), 2105063 10.1002/adma.202105063. [DOI] [PubMed] [Google Scholar]
  54. Lam S. J.; O’Brien-Simpson N. M.; Pantarat N.; Sulistio A.; Wong E. H. H.; Chen Y.-Y.; Lenzo J. C.; Holden J. A.; Blencowe A.; Reynolds E. C.; Qiao G. G. Combating Multidrug-Resistant Gram-Negative Bacteria with Structurally Nanoengineered Antimicrobial Peptide Polymers. Nat. Microbiol. 2016, 1 (11), 1–11. 10.1038/nmicrobiol.2016.162. [DOI] [PubMed] [Google Scholar]
  55. Palermo E. F.; Sovadinova I.; Kuroda K. Structural Determinants of Antimicrobial Activity and Biocompatibility in Membrane-Disrupting Methacrylamide Random Copolymers. Biomacromolecules 2009, 10 (11), 3098–3107. 10.1021/bm900784x. [DOI] [PubMed] [Google Scholar]
  56. Palermo E. F.; Kuroda K. Chemical Structure of Cationic Groups in Amphiphilic Polymethacrylates Modulates the Antimicrobial and Hemolytic Activities. Biomacromolecules 2009, 10 (6), 1416–1428. 10.1021/bm900044x. [DOI] [PubMed] [Google Scholar]
  57. Yang L.; Gordon V. D.; Mishra A.; Som A.; Purdy K. R.; Davis M. A.; Tew G. N.; Wong G. C. L. Synthetic Antimicrobial Oligomers Induce a Composition-Dependent Topological Transition in Membranes. J. Am. Chem. Soc. 2007, 129 (40), 12141–12147. 10.1021/ja072310o. [DOI] [PubMed] [Google Scholar]
  58. Yang L.; Gordon V. D.; Trinkle D. R.; Schmidt N. W.; Davis M. A.; DeVries C.; Som A.; Cronan J. E.; Tew G. N.; Wong G. C. L. Mechanism of a Prototypical Synthetic Membrane-Active Antimicrobial: Efficient Hole-Punching via Interaction with Negative Intrinsic Curvature Lipids. Proc. Natl. Acad. Sci. U. S. A. 2008, 105 (52), 20595–20600. 10.1073/pnas.0806456105. [DOI] [PMC free article] [PubMed] [Google Scholar]
  59. Lienkamp K.; Madkour A. E.; Kumar K.-N.; Nüsslein K.; Tew G. N. Antimicrobial Polymers Prepared by Ring-Opening Metathesis Polymerization: Manipulating Antimicrobial Properties by Organic Counterion and Charge Density Variation. Chem. Eur. J. 2009, 15 (43), 11715–11722. 10.1002/chem.200900606. [DOI] [PubMed] [Google Scholar]
  60. Thaker H. D.; Cankaya A.; Scott R. W.; Tew G. N. Role of Amphiphilicity in the Design of Synthetic Mimics of Antimicrobial Peptides with Gram-Negative Activity. ACS Med. Chem. Lett. 2013, 4 (5), 481–485. 10.1021/ml300307b. [DOI] [PMC free article] [PubMed] [Google Scholar]
  61. Srinivas N.; Jetter P.; Ueberbacher B. J.; Werneburg M.; Zerbe K.; Steinmann J.; Van der Meijden B.; Bernardini F.; Lederer A.; Dias R. L. A.; Misson P. E.; Henze H.; Zumbrunn J.; Gombert F. O.; Obrecht D.; Hunziker P.; Schauer S.; Ziegler U.; Käch A.; Eberl L.; Riedel K.; DeMarco S. J.; Robinson J. A. Peptidomimetic Antibiotics Target Outer-Membrane Biogenesis in Pseudomonas Aeruginosa. Science 2010, 327 (5968), 1010–1013. 10.1126/science.1182749. [DOI] [PubMed] [Google Scholar]
  62. Uppu D. S. S. M.; Konai M. M.; Sarkar P.; Samaddar S.; Fensterseifer I. C. M.; Farias-Junior C.; Krishnamoorthy P.; Shome B. R.; Franco O. L.; Haldar J. Membrane-Active Macromolecules Kill Antibiotic-Tolerant Bacteria and Potentiate Antibiotics towards Gram-Negative Bacteria. PLoS One 2017, 12 (8), e0183263 10.1371/journal.pone.0183263. [DOI] [PMC free article] [PubMed] [Google Scholar]
  63. Hwang J.; Barman S.; Gao R.; Yang X.; O’Malley A.; Nagarkatti P.; Nagarkatti M.; Chruszcz M.; Tang C. Membrane-Active Metallopolymers: Repurposing and Rehabilitating Antibiotics to Gram-Negative Superbugs. Adv. Healthc. Mater. 2023, 12 (31), 2301764 10.1002/adhm.202301764. [DOI] [PMC free article] [PubMed] [Google Scholar]
  64. Phuong P. T.; Oliver S.; He J.; Wong E. H. H.; Mathers R. T.; Boyer C. Effect of Hydrophobic Groups on Antimicrobial and Hemolytic Activity: Developing a Predictive Tool for Ternary Antimicrobial Polymers. Biomacromolecules 2020, 21 (12), 5241–5255. 10.1021/acs.biomac.0c01320. [DOI] [PubMed] [Google Scholar]
  65. Chin W.; Zhong G.; Pu Q.; Yang C.; Lou W.; De Sessions P. F.; Periaswamy B.; Lee A.; Liang Z. C.; Ding X.; Gao S.; Chu C. W.; Bianco S.; Bao C.; Tong Y. W.; Fan W.; Wu M.; Hedrick J. L.; Yang Y. Y. A Macromolecular Approach to Eradicate Multidrug Resistant Bacterial Infections While Mitigating Drug Resistance Onset. Nat. Commun. 2018, 9 (1), 917. 10.1038/s41467-018-03325-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  66. Tew G. N.; Liu D.; Chen B.; Doerksen R. J.; Kaplan J.; Carroll P. J.; Klein M. L.; DeGrado W. F. De Novo Design of Biomimetic Antimicrobial Polymers. Proc. Natl. Acad. Sci. U. S. A. 2002, 99 (8), 5110–5114. 10.1073/pnas.082046199. [DOI] [PMC free article] [PubMed] [Google Scholar]
  67. Shen J.; Gurtner G. C.; Cegelski L.; Yang Y. P.. Mechanisms of Action and Chemical Origins of Biologically Active Antimicrobial Polymers. In Racing for the Surface; Li B., Moriarty T. F., Webster T., Xing M., Eds.; Springer: 2020; pp 297–312. [Google Scholar]
  68. Pham P.; Oliver S.; Wong E. H. H.; Boyer C. Effect of Hydrophilic Groups on the Bioactivity of Antimicrobial Polymers. Polym. Chem. 2021, 12 (39), 5689–5703. 10.1039/D1PY01075A. [DOI] [Google Scholar]
  69. Smith A. A. A.; et al. Practical Prediction of Heteropolymer Composition and Drift. ACS Macro Letters 2019, 8, 36. 10.1021/acsmacrolett.8b00813. [DOI] [PubMed] [Google Scholar]
  70. Smith A. A. A.; Maikawa C. L.; Hernandez H. L.; Appel E. A. Controlling Properties of Thermogels by Tuning Critical Solution Behaviour of Ternary Copolymers. Polym. Chem. 2021, 12 (13), 1918–1923. 10.1039/D0PY01696A. [DOI] [Google Scholar]
  71. Prossnitz A. N.; Nguyen L. T.; Eckman N.; Borkar S.; Tetef S.; Autzen A. A. A.; Fuller G. G.; Appel E. A. Defining Structure-Function Relationships of Amphiphilic Excipients Enables Rational Design of Ultra-Stable Biopharmaceuticals. Adv. Sci. 2025, 12, 1. 10.1002/advs.202409604. [DOI] [PMC free article] [PubMed] [Google Scholar]
  72. Matson J. B.; Steele A. Q.; Mase J. D.; Schulz M. D. Polymer Characterization by Size-Exclusion Chromatography with Multi-Angle Light Scattering (SEC-MALS): A Tutorial Review. Polym. Chem. 2024, 15 (3), 127–142. 10.1039/D3PY01181J. [DOI] [PMC free article] [PubMed] [Google Scholar]
  73. Judzewitsch P. R.; Nguyen T.-K.; Shanmugam S.; Wong E. H. H.; Boyer C. Towards Sequence-Controlled Antimicrobial Polymers: Effect of Polymer Block Order on Antimicrobial Activity. Angew. Chem., Int. Ed. 2018, 57 (17), 4559–4564. 10.1002/anie.201713036. [DOI] [PubMed] [Google Scholar]
  74. Judzewitsch P. R.; Zhao L.; Wong E. H. H.; Boyer C. High-Throughput Synthesis of Antimicrobial Copolymers and Rapid Evaluation of Their Bioactivity. Macromolecules 2019, 52 (11), 3975–3986. 10.1021/acs.macromol.9b00290. [DOI] [Google Scholar]
  75. Namivandi-Zangeneh R.; Kwan R. J.; Nguyen T.-K.; Yeow J.; Byrne F. L.; Oehlers S. H.; Wong E. H. H.; Boyer C. The Effects of Polymer Topology and Chain Length on the Antimicrobial Activity and Hemocompatibility of Amphiphilic Ternary Copolymers. Polym. Chem. 2018, 9 (13), 1735–1744. 10.1039/C7PY01069A. [DOI] [Google Scholar]
  76. Huang D. B.; Brothers K. M.; Mandell J. B.; Taguchi M.; Alexander P. G.; Parker D. M.; Shinabarger D.; Pillar C.; Morrissey I.; Hawser S.; Ghahramani P.; Dobbins D.; Pachuda N.; Montelaro R.; Steckbeck J. D.; Urish K. L. Engineered Peptide PLG0206 Overcomes Limitations of a Challenging Antimicrobial Drug Class. PLoS One 2022, 17 (9), e0274815 10.1371/journal.pone.0274815. [DOI] [PMC free article] [PubMed] [Google Scholar]
  77. Kurbatfinski N.; Kramer C. N.; Goodman S. D.; Bakaletz L. O. ESKAPEE Pathogens Newly Released from Biofilm Residence by a Targeted Monoclonal Are Sensitized to Killing by Traditional Antibiotics. Front. Microbiol. 2023, 14, 1202215 10.3389/fmicb.2023.1202215. [DOI] [PMC free article] [PubMed] [Google Scholar]
  78. WHO Bacterial Priority Pathogens List, 2024: Bacterial Pathogens of Public Health Importance to Guide Research, Development and Strategies to Prevent and Control Antimicrobial Resistance.; World Health Organization: 2024. [Google Scholar]
  79. Inactive Ingredient Search for Approved Drug Products. https://www.accessdata.fda.gov/scripts/cder/iig/index.cfm (accessed 2022-03-09).
  80. Penicillin, antistaphylococcal penicillins, and broad-spectrum penicillins - UpToDate. https://www.uptodate.com/contents/penicillin-antistaphylococcal-penicillins-and-broad-spectrum-penicillins#H7 (accessed 2024-08-29).
  81. Fass R. J.; Barnishan J. Minimal Inhibitory Concentrations of 34 Antimicrobial Agents for Control Strains Escherichia Coli ATCC 25922 and Pseudomonas Aeruginosa ATCC 27853. Antimicrob. Agents Chemother. 1979, 16 (5), 622–624. 10.1128/AAC.16.5.622. [DOI] [PMC free article] [PubMed] [Google Scholar]
  82. Wiradharma N.; Khan M.; Yong L.-K.; Hauser C. A. E.; Seow S. V.; Zhang S.; Yang Y.-Y. The Effect of Thiol Functional Group Incorporation into Cationic Helical Peptides on Antimicrobial Activities and Spectra. Biomaterials 2011, 32 (34), 9100–9108. 10.1016/j.biomaterials.2011.08.020. [DOI] [PubMed] [Google Scholar]
  83. Ng V. W. L.; Ke X.; Lee A. L. Z.; Hedrick J. L.; Yang Y. Y. Synergistic Co-Delivery of Membrane-Disrupting Polymers with Commercial Antibiotics against Highly Opportunistic Bacteria. Adv. Mater. 2013, 25 (46), 6730–6736. 10.1002/adma.201302952. [DOI] [PubMed] [Google Scholar]
  84. Nestorovich E. M.; Danelon C.; Winterhalter M.; Bezrukov S. M. Designed to Penetrate: Time-Resolved Interaction of Single Antibiotic Molecules with Bacterial Pores. Proc. Natl. Acad. Sci. U. S. A. 2002, 99 (15), 9789–9794. 10.1073/pnas.152206799. [DOI] [PMC free article] [PubMed] [Google Scholar]
  85. Delcour A. H. Outer Membrane Permeability and Antibiotic Resistance. Biochim. Biophys. Acta BBA - Proteins Proteomics 2009, 1794 (5), 808–816. 10.1016/j.bbapap.2008.11.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  86. Antonoplis A.; Zang X.; Wegner T.; Wender P. A.; Cegelski L. Vancomycin–Arginine Conjugate Inhibits Growth of Carbapenem-Resistant E. Coli and Targets Cell-Wall Synthesis. ACS Chem. Biol. 2019, 14 (9), 2065–2070. 10.1021/acschembio.9b00565. [DOI] [PMC free article] [PubMed] [Google Scholar]
  87. Namivandi-Zangeneh R.; Sadrearhami Z.; Dutta D.; Willcox M.; Wong E. H. H.; Boyer C. Synergy between Synthetic Antimicrobial Polymer and Antibiotics: A Promising Platform To Combat Multidrug-Resistant Bacteria. ACS Infect. Dis. 2019, 5 (8), 1357–1365. 10.1021/acsinfecdis.9b00049. [DOI] [PubMed] [Google Scholar]
  88. RDKit. https://www.rdkit.org/ (accessed 2025-02-19).

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oc4c01973_si_002.pdf (304.8KB, pdf)

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